Optical Character Recognition
The collection focuses on advancements and applications of optical character recognition (OCR) technologies, emphasizing challenges in recognizing text in varied scripts, including Arabic and Javanese. It covers innovative methodologies utilizing machine learning and convolutional neural networks (CNN) to enhance accuracy and accessibility, particularly for visually impaired users. The insights into industry trends, market growth, and the importance of high-quality training datasets reinforce the transformative potential of OCR across fields like healthcare, education, and consumer goods.
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Artificial intelligence multilingual image-to-speech for accessibility and text recognition
Artificial intelligence multilingual image-to-speech for accessibility and text recognition1w ago, 5 views
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A comparative analysis of optical character recognition models for extracting and classifying texts in natural scenes
A comparative analysis of optical character recognition models for extracting and classifying texts in natural scenes3w ago, 174 views
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Detection and identification of un-uniformed shape text from blurred video frames
Detection and identification of un-uniformed shape text from blurred video frames1m ago, 2 views
1m ago, 2 views -
Strategies for Identifying, Categorizing, and Facilitating Data Extraction.pdf
Strategies for Identifying, Categorizing, and Facilitating Data Extraction.pdf5m ago, 13 views
5m ago, 13 views -
Information Extraction from Product Labels: A Machine Vision Approach
Information Extraction from Product Labels: A Machine Vision Approach7m ago, 11 views
7m ago, 11 views -
From Data Collection to Text Recognition: The OCR Training Dataset Journey
From Data Collection to Text Recognition: The OCR Training Dataset Journey8m ago, 10 views
8m ago, 10 views -
Methodology for eliminating plain regions from captured images
Methodology for eliminating plain regions from captured images9m ago, 16 views
9m ago, 16 views -
當數位典藏走進元宇宙 數位化與混合實境工作坊 - 112-2 淡江資圖.pptx
當數位典藏走進元宇宙 數位化與混合實境工作坊 - 112-2 淡江資圖.pptx1y ago, 37 views
1y ago, 37 views -
What is OCR Technology and How to Extract Text from Any Image for Free
What is OCR Technology and How to Extract Text from Any Image for Free1y ago, 69 views
1y ago, 69 views -
Information Extraction from Product Labels: A Machine Vision Approach
Information Extraction from Product Labels: A Machine Vision Approach1y ago, 54 views
1y ago, 54 views -
Automatic Content Recognition Market Size and Forecast Report, 2024-2030
Automatic Content Recognition Market Size and Forecast Report, 2024-20301y ago, 10 views
1y ago, 10 views -
INFORMATION EXTRACTION FROM PRODUCT LABELS: A MACHINE VISION APPROACH
INFORMATION EXTRACTION FROM PRODUCT LABELS: A MACHINE VISION APPROACH1y ago, 38 views
1y ago, 38 views -
Improved Javanese script recognition using custom model of convolution neural network
Improved Javanese script recognition using custom model of convolution neural network1y ago, 19 views
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A study of feature extraction for Arabic calligraphy characters recognition
A study of feature extraction for Arabic calligraphy characters recognition1y ago, 25 views
1y ago, 25 views -
Empower Communication Arabic Speech Recognition API Guide for Seamless Interaction
Empower Communication Arabic Speech Recognition API Guide for Seamless Interaction1y ago, 5 views
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Automatic optical inspection for detecting keycaps misplacement using Tesseract optical character recognition
Automatic optical inspection for detecting keycaps misplacement using Tesseract optical character recognition1y ago, 19 views
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Unlocking Efficiency A Guide to Optical Character Recognition Services.pptx
Unlocking Efficiency A Guide to Optical Character Recognition Services.pptx1y ago, 6 views
1y ago, 6 views -
Optical Character Recognition: from data driven to self-supervised learning (ICDAR WML 2023 Keynote)
Optical Character Recognition: from data driven to self-supervised learning (ICDAR WML 2023 Keynote)2y ago, 216 views
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